Aims of the 5th Summer School on Cognitive and Affective Neurophysiology:
- Introduction to EEG and ERP applied to the study of cognitive and affective processes. - Acquisition of electrophysiological data of brain activity. - Signal processing. - Statistical analysis of the data. All the modules will have a laboratorial handson component. Scientific Coordination: João Marques Teixeira, MD, PhD Fernando Barbosa, PhD Fernando Ferreira-Santos, PhD Pedro R. Almeida, PhD.
General information: The Cognitive and Affective Neurophysiology Summer School is organized by the Laboratory of Neuropsychophysiology of the University of Porto. For information about our lab, please visit our website, http://www.fpce.up.pt/labpsi/. Location: The summer school will take place at the Faculty of Psychology and Education Sciences of the University of Porto (in Portuguese: Faculdade de Psicologia e de Ciencias da Educacao da Universidade do Porto – FPCE-UP) Google Maps: http://goo.gl/maps/prtD8
Duration: The course will take place between 5 (Monday) and 9 (Saturday) of September of 2016. The course duration will be 36 hours in total. Faculty: Professors João Marques-Teixeira (MD, PhD), Fernando Barbosa (PhD), Fernando Ferreira-Santos (PhD), and Pedro R. Almeida (PhD) are the scientific coordinators of the course.
Detailed Programme of the 5th Cognitive and Affective Neurophysiology Summer School:
1. Introduction to the EEG/ERP techniques in Cognitive and Affective Neuroscience
1.1. Electroencephalography (EEG)
1.1.1. History
1.1.2. Main discoveries and applications, EEG rhythms
1.2. Principles of electricity (and very light notes on mathematical analysis)
1.3. Neurophysiological basis of the EEG signal
1.4. Event-related potentials (ERP)
1.4.1. History and technical definition
1.4.2. ERP components: definition and overview
1.4.2.1. Definition, classification, nomenclature, quantification
1.4.2.2. Overview of the main components
1.5. Technical basis of EEG/ERP
1.5.1. Laboratory setting and recording equipment
1.5.2. From the physical signal to the digital time-series
1.5.2.1. Sensors, amplification, analog-to-digital conversion
1.5.2.2. Sampling frequency, Nyquist-Shannon Theorem 2. Collecting EEG data
2.1. Ethical guidelines and lab safety and hygiene
2.2. Electrode positioning systems, montages, reference
2.3. Software for recording and processing EEG/ERP data
3. Electrophysiological signal processing (using the freely available EEGLAB software)
3.1. Introduction to time series analysis
3.2. Digital filters 3.3. Baseline correction
3.4. Linear trend correction
3.5. Event/response conditioning
3.6. Removal/correction of artifacts
3.7. Channel interpolation, downsampling
3.8. Averaging and grand-averaging
3.9. Quantification of ERPs in the time domain
3.10. Advanced EEG/ERP analyses (short overview)
4. Statistical analysis of results
4.1. Parametric statistical techniques (mean differences and analysis of variance)
4.1.1. The sphericity problem
4.1.2. The multiple comparisons problem
4.2. Classical ERP component approach vs. mass-univariate approach/SPM
For more detailed information please click on "Further Official Information" below.
This opportunity has expired. It was originally published here:
http://www.fpce.up.pt/labpsi/data_files/poster_VCAN_final.pdf